-
Hi, from errors.md:
Input contains NaN, infinity or a value too large for dtype('float64'). Traceback (most recent call last): File "/home/jmrichardson/anaconda3/envs/tipjar/lib/python3.7/site-pack…
-
32 bits depth:
- 16, 20, 24, 32, 40, 48, 64, 128, 256, 512
8 bits depth:
- 16, 32, 48
4 bits depth:
- 16, 32
https://stackoverflow.com/questions/3236115/which-icon-sizes-should-my-windows…
-
Hi ,
I encountered the following error when training in optuna mode:
`Exception in LightgbmObjective The entry associated with the validation name "validation" and the metric name "mae" is not found…
-
After running:
```py
# training in Optuna mode, highly tune selected algorithm
automl = AutoML(
mode="Optuna",
algorithms=["CatBoost", "LightGBM", "Xgboost"],
optuna_time_budget…
-
If I have a dataset that has 10 times more samples for one class than another, does mljar do anything to account for this, or should I be balancing the dataset beforehand?
-
```py
**'float' object has no attribute 'lower'**
Traceback (most recent call last):
File "C:\Users\lucas.ssousa\AppData\Roaming\Python\Python38\site-packages\supervised\base_automl.py", line 1…
-
2021-05-24 18:04:12,100 supervised.exceptions ERROR No models produced.
Please check your data or submit a Github issue at https://github.com/mljar/mljar-supervised/issues/new.
1_Optuna_LightGBM no…
-
Dear @pplonski ,
I observe significant overload during training despite setting or not setting the n_jobs flag.
I am not absolutely sure why this happens, but is there a chance that n_jobs is p…
BeZie updated
3 years ago
-
Bad value for num_feature[non_default_doc_idx=0,feature_idx=9]="Rufiji": Cannot convert 'b'Rufiji'' to float
Traceback (most recent call last):
File "_catboost.pyx", line 1980, in _catboost.get_…
-
I've read (and negatively experienced) that `n_jobs = -1` is hard coded for applicable models such as LightGBM, XGBoost, etc. My organization runs Jupyter notebooks in a kubernetes containerized envi…